token-analyzer-pro

Installation

$npx skills add ducquanghuy3-sys/ai-agent-skills --skill token-analyzer-pro

Summary

The agent can produce comprehensive investment research reports on any cryptocurrency token using on-chain metrics, tokenomics scoring, risk assessment, and comparative valuation. Invoke when a user requests token analysis, due diligence, safety evaluation, or investment research for any crypto asset across major chains.

SKILL.MD

Token Analyzer Pro

Generate institutional-grade token analysis reports from a single input (token name, symbol, or contract address).

Language Detection

Detect the user's language from their input:

  • If Chinese → Output full report in Chinese (中文)
  • If English → Output full report in English
  • If ambiguous → Default to English, ask if they prefer 中文

Input Processing

Accept any of:

  • Token symbol: ETH, SOL, ARB
  • Token name: Ethereum, Uniswap
  • Contract address: 0x... or Solana address
  • Casual query: "what do you think about PEPE", "帮我分析一下ARB"

Extract: token_symbol, chain, contract_address (if provided)

Report Structure

Generate a structured report with these sections. Use the formatting template in references/report-template.md.

Section 1: Token Overview / 代币概览

  • Full name, symbol, chain(s), contract address
  • Category classification: L1 / L2 / DeFi / GameFi / Meme / AI / RWA / Infrastructure / Other
  • One-sentence description of what the protocol does
  • Launch date, founding team (known/anon), backing (VCs if any)

Section 2: Tokenomics Analysis / 代币经济学

Evaluate on a 1-10 scale with reasoning:

FactorScoreAnalysis
Supply Design/10Fixed vs inflationary, emission schedule, burn mechanisms
Distribution/10Team/VC/community split, vesting schedules, concentration
Value Accrual/10How does protocol revenue flow to token holders?
Utility/10Real use cases vs speculative demand
Unlock Risk/10Upcoming cliff unlocks, selling pressure estimate

Key metrics to include:

  • Circulating supply / Total supply / Max supply
  • FDV vs Market Cap ratio (>5x = major dilution risk)
  • Top 10 holder concentration (Gini coefficient interpretation)
  • Next major unlock event (date + % of supply)

Section 3: On-Chain Health / 链上数据健康度

MetricStatusInterpretation
Daily Active Addresses (30d trend)↑/↓/→Growing/declining usage
Transaction Volume (30d)↑/↓/→Network activity
TVL (if DeFi)$XProtocol adoption
Developer Activity (GitHub commits 90d)Active/Moderate/LowTeam shipping
Holder Growth (30d)+X%Accumulation vs distribution

Section 4: Risk Assessment / 风险评估

Score each risk factor 1-5 (1=low risk, 5=critical):

Smart Contract Risk:

  • Audit status (who audited, when, findings)
  • Proxy upgradability (admin can change logic?)
  • Bug bounty program existence and size

Market Risk:

  • Liquidity depth (can $100K be traded with <2% slippage?)
  • Exchange listing quality (CEX tier 1/2/3, DEX only)
  • Correlation with BTC/ETH (beta)

Project Risk:

  • Team transparency (doxxed? track record?)
  • Regulatory exposure (securities classification risk)
  • Competition landscape (how many competitors, moat strength)

Overall Risk Score: Weighted average → LOW / MEDIUM / HIGH / CRITICAL

Section 5: Comparative Analysis / 对标分析

  • Identify 2-3 closest competitors
  • Compare on: Market Cap, FDV, TVL, Revenue, P/E ratio
  • Relative valuation assessment: Undervalued / Fair / Overvalued

Section 6: Actionable Summary / 操作建议

╔═══════════════════════════════════════╗
║  OVERALL SCORE: [X.X / 10]           ║
║  RISK LEVEL: [LOW/MEDIUM/HIGH]       ║
║  VERDICT: [One-line assessment]       ║
╠═══════════════════════════════════════╣
║  BULL CASE: [What goes right]         ║
║  BEAR CASE: [What goes wrong]         ║
║  KEY CATALYST: [Next major event]     ║
╚═══════════════════════════════════════╝

Key Watchpoints:

  • 3 specific things to monitor
  • Suggested re-evaluation trigger

Quality Standards

  1. Data-driven: Every claim must reference a metric or data point
  2. Balanced: Present both bull and bear cases with equal rigor
  3. Actionable: End with specific, concrete next steps
  4. Honest: If data is unavailable, say so explicitly — never fabricate
  5. Disclaimed: Always include risk disclaimer at the end

Mandatory Disclaimer

Every report MUST end with:

⚠️ DISCLAIMER: This analysis is generated by AI for informational purposes only. It is NOT financial advice. Cryptocurrency investments carry significant risk including total loss of capital. Always conduct your own research (DYOR) and consult a qualified financial advisor before making investment decisions.

⚠️ 免责声明：本分析由AI生成，仅供参考，不构成任何投资建议。加密货币投资存在重大风险，包括本金全部损失的可能。请务必自行研究(DYOR)，并在做出投资决策前咨询专业财务顾问。

Reference Files

  • references/report-template.md — Output formatting template with examples
  • references/valuation-frameworks.md — Crypto-specific valuation methodologies